GCP Data Engineer: Scalable Pipelines & AI Readiness

Kyndryl; Granada; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Kyndryl in Granada, Spain, is seeking a Data Engineer to join its ADAI practice, building scalable, cloud-native data platforms on Google Cloud Platform. You’ll design and maintain ETL/ELT pipelines, enable analytics and AI use cases, and collaborate with data architects and stakeholders to translate requirements into robust solutions.

The role demands 3+ years of data engineering experience, strong SQL and Python, and hands-on GCP skills (BigQuery, Dataflow, Pub/Sub).

Formación

• 3+ years of experience as a Data Engineer or similar role.
• Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
• Strong SQL and Python programming skills.
• Experience developing ETL/ELT pipelines and distributed data processing solutions.
• Knowledge of data warehousing concepts and dimensional modeling.
• Spanish and English fluid level.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data.
• Develop and maintain data models supporting analytics, reporting, and AI initiatives.
• Implement data quality validation, monitoring, and governance controls.
• Collaborate with architects and business stakeholders to translate requirements into technical solutions.
• Support orchestration, automation, and operationalization of data pipelines.

Conocimientos

SQL

Python

ETL/ELT

Data modeling

GCP

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

Spanish

English

Herramientas

dbt

Spark

Kafka

Terraform

Docker

Descripción del empleo

Kyndryl in Granada, Spain, is seeking a Data Engineer to join its ADAI practice, building scalable, cloud-native data platforms on Google Cloud Platform. You’ll design and maintain ETL/ELT pipelines, enable analytics and AI use cases, and collaborate with data architects and stakeholders to translate requirements into robust solutions.

The role demands 3+ years of data engineering experience, strong SQL and Python, and hands-on GCP skills (BigQuery, Dataflow, Pub/Sub).